scholarly journals Kolmogorov-Smirnov Goodness-of-Fit test for identifying distribution of the number of earthquakes and the losses due to earthquakes in Indonesia

2021 ◽  
Vol 1821 (1) ◽  
pp. 012045
Author(s):  
Pratnya P Oktaviana ◽  
Irhamah
Keyword(s):  
Goodness Of Fit ◽  
Goodness Of Fit Test ◽  
Kolmogorov Smirnov

scholarly journals AJUSTE DA FUNÇÃO DE DISTRIBUIÇÃO DIAMÉTRICA WEIBULL POR PLANILHA ELETRÔNICA

FLORESTA ◽  
2011 ◽  
Vol 41 (2) ◽  
Author(s):  
William Thomaz Wendling ◽  
Dartagnan Baggio Emerenciano ◽  
Roberto Tuyoshi Hosokawa
Keyword(s):  
Distribution Function ◽  
Goodness Of Fit ◽  
Diameter Distribution ◽  
Goodness Of Fit Test ◽  
Function Model ◽  
Helpful Tool ◽  
Test Efficiency ◽  
Kolmogorov Smirnov ◽  
Electronic Spreadsheet ◽  
Main Model

Desenvolve-se uma metodologia traçada por um roteiro em algoritmo factível e amigável para efetivação em planilhas eletrônicas, reconhecidas como uma interface popular para cálculos. Busca-se, assim, apresentar uma ferramenta útil para alunos de graduação e recém-graduados em engenharia florestal, ou engenheiros mais experientes que ainda não dominem a técnica, para ajuste de um modelo de função densidade de probabilidade, com o objetivo de descrever a estrutura da distribuição diamétrica de populações florestais. O modelo adotado é o da função de Weibull, e o método de ajuste é o do percentis, com simulações comparadas por teste de aderência de Kolmogorov-Smirnov. A eficiência do método apresentado é testada por comparação a outro método alternativo.Palavras-chave:  Manejo florestal; florestas - modelos matemáticos; florestas - simulação por computador. AbstractWeibull diameter distribution function adjusts for electronic spreadsheet. This research develops a methodology based on easy and friendly algorithm for spreadsheets, a well known interface for calculus. It aims to present a helpful tool for forestry students, as well as for newly or experienced engineers who haven’t already known adjustment techniques for a density function model of probability, which is useful into diametric distribution structure descriptions of forest population. It has Weibull’s function as main model, percentile as adjustment method, and comparing simulations by Kolmogorov-Smirnov goodness-of-fit test. Efficiency of the presented method was tested by comparison to another method.Keywords: Forest management; forest - mathematical models; forest - computer simulator.

Utilizing Simulation to Build a Retail Store Inventory Optimization Model

2013 ◽  
Vol 5 (1) ◽  
Author(s):  
VICENTE SALVADOR E. MONTAÑO ◽  
MICHAEL E. CARTER II
Keyword(s):  
Simulation Model ◽  
Goodness Of Fit ◽  
Inventory Model ◽  
T Test ◽  
Optimal Order ◽  
Order Quantity ◽  
Goodness Of Fit Test ◽  
Reorder Point ◽  
Kolmogorov Smirnov ◽  
Optimal Order Quantity

The researchers build an inventory model for retail stores by validating their economicorder quantity through data driven simulation. This paper created an inventoryoptimization model for a personal care retailing business, to avoid stock out and minimize their holding cost and ordering cost. Simulating a thousand different scenarios, the research come up with an optimal inventory model for the two most sellable products in the store. The t-test reveals that product A has a significantly higher demand than product B. The simulation model validates the optimal order quantity of 59 units, with a reorder point of 25 units for product A. However, the simulation model recommends an optimal order quantity of 37 units and a reorder point of 10 units for product B. The Kolmogorov-Smirnov Goodness of Fit Test reveals the normal distribution of the 30 days inventory for Product A but not for Product B. Confirming that stocks out will unlikely happen for product A but will probably occur for product B. The model confirms EOQ findings of product with relatively high demand but low price but a departure for products with low demand but the high price.Keywords: Operations management, retail inventory system, t-test, Monte Carlo Simulation,Kolmogorov-Smirnov Goodness of Fit Test, Davao City, Philippines, Southeast Asia

scholarly journals A Cautionary Note on the Use of the Kolmogorov–Smirnov Test for Normality

2007 ◽  
Vol 135 (3) ◽  
pp. 1151-1157 ◽  
Author(s):  
Dag J. Steinskog ◽  
Dag B. Tjøstheim ◽  
Nils G. Kvamstø
Keyword(s):  
Goodness Of Fit ◽  
Small Sample ◽  
Power Comparison ◽  
Goodness Of Fit Test ◽  
Kolmogorov Smirnov ◽  
The Mean ◽  
Small Sample Problem ◽  
Tests For Normality ◽  
Test For Normality ◽  
Smirnov Test

Abstract The Kolmogorov–Smirnov goodness-of-fit test is used in many applications for testing normality in climate research. This note shows that the test usually leads to systematic and drastic errors. When the mean and the standard deviation are estimated, it is much too conservative in the sense that its p values are strongly biased upward. One may think that this is a small sample problem, but it is not. There is a correction of the Kolmogorov–Smirnov test by Lilliefors, which is in fact sometimes confused with the original Kolmogorov–Smirnov test. Both the Jarque–Bera and the Shapiro–Wilk tests for normality are good alternatives to the Kolmogorov–Smirnov test. A power comparison of eight different tests has been undertaken, favoring the Jarque–Bera and the Shapiro–Wilk tests. The Jarque–Bera and the Kolmogorov–Smirnov tests are also applied to a monthly mean dataset of geopotential height at 500 hPa. The two tests give very different results and illustrate the danger of using the Kolmogorov–Smirnov test.

scholarly journals El entrenamiento de la resistencia y sus efectos en la competición en la altura en el fútbol ecuatoriano (Endurance training and its effects in competition at altitude in the Ecuadorian soccer)

Retos ◽  
2017 ◽  
pp. 221-227
Author(s):  
Manuel Gutierrez Cruz ◽  
Lisbet Guillen Pereira ◽  
Flavio Antonio Perlaza ◽  
José Ramón Guerra Santiesteban ◽  
Giovanny Capote Lavandero ◽  
...  
Keyword(s):  
Endurance Training ◽  
Goodness Of Fit ◽  
Technical Skills ◽  
Three Dimensions ◽  
Maximum Volume ◽  
Goodness Of Fit Test ◽  
Four Dimensions ◽  
Kolmogorov Smirnov ◽  
Student’S T ◽  
Smirnov Test

La investigación se realizó en el equipo de la reserva del Barcelona Sporting Club del fútbol ecuatoriano de primera división, cuyo objetivo se enfocó en validar una alternativa metodológica para el entrenamiento de la resistencia con vista a la competición en la altura, para ello se asumió un pre-experimento el cual permitió evaluar cuatro dimensiones, la primera relacionada con el conocimiento sobre el entrenamiento de resistencia para la competición en la altura; en este aspecto se trabajó con el cuerpo técnico del equipo. De igual forma intervino una muestra de 12 futbolistas seleccionados mediante un muestreo intencional, en esta se evaluaron tres dimensiones: la efectividad de las acciones ofensivas y defensivas, la segunda  analiza la cantidad de metros recorridos (Test de Cooper) y la tercera el VO2. Para el análisis estadístico de los datos se utilizó un test de bondad de ajustes (test de Kolmogorov-Smirnov: KS), los resultados permitieron aplicar un test paramétrico (T de Student). En cada una de las dimensiones analizadas los resultados arrojados fueron significativos siendo p=.000. Para el análisis estadístico se empleó el paquete SPSS 23.0. Los resultados del estudio demostraron como resultado de la aplicación de la propuesta un incremento en la efectividad en la utilización de la técnica para  crear y solucionar situaciones en los últimos 15 minutos de juego, en concordancia se observó  un mejor estado de las manifestaciones externas de la carga física y la capacidad de resistencia aerobia a partir del incremento del VO2.Summary: The research was carried out with the reserve team of Barcelona Sporting Club from the Ecuadorian soccer first division. The objective was to validate a methodological alternative for endurance training focused on competitions at altitude. The pre-experimental design of the study was directed to evaluating four dimensions. The first one concerned developing knowledge about endurance training for competitions at altitude; in this aspect, we worked with the technical staff of the team. In the same way, a sample of 12 players was selected using intentional sampling, three dimensions being evaluated: effectiveness of offensive and defensive actions; meters covered (Cooper test); and maximum volume of oxygen (VO2). Data analysis was based on goodness of fit test (Kolmogorov-Smirnov test [KS]). Data normality allowed to apply parametric tests (Student's T). Results were significant in each of the analyzed dimensions, being p = .000. SPSS 23.0 package was used for statistical analysis. Results of the implementation of the method demonstrated an increased effectiveness in using technical skills to create and solve situations in the last 15 minutes of the matches, at the same time as we could observe a better state of the external manifestations of physical load as well as improved capacity of aerobic endurance derived from the increase in VO2.

scholarly journals Probability Distribution of Rainfall in Medan

2019 ◽  
Vol 1 (2) ◽  
pp. 43-49 ◽  
Author(s):  
Elly Rosmaini
Keyword(s):  
Probability Distribution ◽  
Gamma Distribution ◽  
Goodness Of Fit ◽  
Monthly Rainfall ◽  
Rainfall Data ◽  
Goodness Of Fit Test ◽  
Normal Distributions ◽  
Lognormal Distributions ◽  
Kolmogorov Smirnov ◽  
Anderson Darling

In this paper we chose three stations in Medan City , Indonesia to estimate Monthly Rainfall Data i.e. Tuntungan, Tanjung Selamat, and Medan Selayang Stations. We took the data from 2007 to 2016. In this case fitted with Normal, Gamma, and Lognormal Distributions. To estimate parameters, we used this method. Furthermore, Kolmogorov-Smirnov and Anderson Darling tests were used the goodness-of-fit test. The Gamma and Normal Distributions is suitable for Tuntungan and Medan Selayang Stations were stated by Kolmogorov-Smirnov's test. Anderson Darling's test stated that Gamma Distribution was suitable for all stations.

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